thvasilo Goto Github PK

adaqs

AdaQS: Adaptive QuickScorer for Sparse Data and Regression Trees with Default Directions

amazon-sagemaker-developer-guide

The open source version of the Amazon SageMaker docs

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

block-gbt-poster

cpython

The Python programming language

cuda-sgd-sese-project

Implementation of mini-batch Stochastic Gradient Descent (SGD) in CUDA using Thrust and cuBLAS

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

dotfiles

A collection of dotfiles I tend to use

flink

Mirror of Apache Flink

flink-graphs

flink-project

A flink project template using Scala and SBT

flink-training

Flink training material

flink-web

Mirror of Apache Flink Website

garcia-multiple-testing

A copy of the codebase provided by Salvador García and Francisco Herrera for their JMLR paper "An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons"

graphlaxy

graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

incubator-samoa

Mirror of Apache Samoa (Incubating)

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

mondrianforest

Code for Mondrian Forests (for classification and regression)

mxnet-the-straight-dope

An interactive book on deep learning, in concept and in MXNet

phd-thesis-tex

phraug2

A new version of phraug, which is a set of simple Python scripts for pre-processing large files

ps-lite

A lightweight parameter server interface

pyprobml

Python code for "Machine learning: a probabilistic perspective"

rabit

Reliable Allreduce and Broadcast Interface for distributed machine learning

sagemaker-spark-container

The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.